Brendon interviews Kevin Meng, a student ML researcher from Plano, Texas, about his research on using machine learning, specifically many-to-many recurrent models, to reconstruct a person's pose using RF data even when a wall or obstruction is present, taking advantage of time series data.

Kevin also shares insights on presenting ML research to the public, and his plans for future research directions relating to natural language processing for media fact checking!

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